May 17, 2016

Lost in Propagation? Unfolding News Cycles from the Source

ICWSM '16

In this work, we pinpoint the information source of an event in the form of a press release and investigate how its news cycle unfolds.

Chenhao Tan, Adrien Friggeri, Lada Adamic
May 7, 2016

Changes in Engagement Before and After Posting to Facebook

CHI 2016

We are interested in the ways in which posting content changes individuals’ engagement with Facebook. The study augments previous knowledge about uses and gratifications from posting on social network sites by focusing on short-term activity of contributors.

Nir Grinberg, Alex Dow, Lada Adamic, Mor Naaman
April 11, 2016

Do Cascades Recur?

WWW 2016

Beyond a certain popularity of content, the rate of recurrence drops as cascades start exhausting the population of interested individuals. We reproduce these observed patterns in a simple model of content recurrence simulated on a real social network.

Justin Cheng, Lada Adamic, Jon Kleinberg, Jure Leskovec
April 11, 2016

People and Cookies: Imperfect Treatment Assignment in Online Experiments

WWW 2016

Identifying the same internet user across devices or over time is often infeasible. This presents a problem for online experiments, as it precludes person-level randomization. Randomization must instead be done using imperfect proxies for people, like cookies, email addresses or device identifiers.

Dominic Coey, Michael Bailey
April 11, 2016

Discovery of Topical Authorities in Instagram

WWW 2016

In this paper, we present a novel approach that we call the Authority Learning Framework (ALF) to find topical authorities in Instagram.

Aditya Pal, Amaç Herdağdelen, Sourav Chatterji, Sumit Taank, Deepayan Chakrabarti
March 23, 2016

Social Networks and Housing Markets

SSRN

We document that the recent house price experiences within an individual’s social network affect her perceptions of the attractiveness of property investments, and through this channel have large effects on her housing market activity.

Michael Bailey, Ruiqing Cao, Theresa Kuchler, Johannes Stroebel
March 15, 2016

Social Hash: an Assignment Framework for Optimizing Distributed Systems Operations on Social Networks

USINEX Symposium on Networked Systems Design and Implementation (NSDI 2016)

We describe the social hash framework, which uses graph partitioning techniques to improve the performance of systems within Facebook. We highlight two applications: 1. how routing similar users to the same web cluster improves our cache performance, 2. how co-locating socially similar data on the same host improves the performance of data serving systems.

Alon Shalita, Brian Karrer, Igor Kabiljo, Arun Sharma, Aaron Adcock, Alessandro Presta, Herald Kllapi, Michael Stumm
February 27, 2016

Modeling Self-Disclosure in Social Networking Sites

ACM CSCW

Social networking sites (SNSs) offer users a platform to build and maintain social connections. Understanding when people feel comfortable sharing information about themselves on SNSs is critical to a good user experience, because self-disclosure helps maintain friendships and increase relationship closeness.

Yi-Chia Wang, Moira Burke, Robert Kraut
February 27, 2016

How Blind People Interact with Visual Content on Social Networking Services

Computer-Supported Cooperative Work and Social Computing

In this paper, we explore blind people’s motivations, challenges, interactions, and experiences with visual content on Social Networking Services (SNSs). We present findings from an interview study of 11 individuals and a survey study of 60 individuals, all with little to no functional vision.

Violeta Voykinska, Shiri Azenkot, Shaomei Wu, Gilly Leshed
February 27, 2016

Once More with Feeling: Supportive Responses to Social Sharing on Facebook

Computer-Supported Cooperative Work and Social Computing

Using millions of de-identified Facebook status updates with poster-annotated feelings (e.g., feeling thankful or feeling worried), we examine the magnitude and circumstances in which people share positive or negative feelings and characterize the nature of the responses they receive.

Moira Burke, Mike Develin
February 27, 2016

What’s in a Like? Attitudes and Behaviors Around Receiving Likes on Facebook

Computer-Supported Cooperative Work and Social Computing

What social value do Likes on Facebook hold? This research examines people’s attitudes and behaviors related to receiving one-click feedback in social media.

Lauren Scissors, Moira Burke, Steve Wengrovitz
February 22, 2016

Information Evolution in Social Networks

Proc. WSDM'16

Social networks readily transmit information, albeit with less than perfect fidelity. We present a large-scale measurement of this imperfect information copying mechanism by examining the dissemination and evolution of thousands of memes, collectively replicated hundreds of millions of times in the online social network Facebook.

Lada Adamic, Thomas Lento, Eytan Adar, Pauline C. Ng
January 13, 2016

Social Networks and Labor Markets: How Strong Ties Relate to Job Transmission On Facebook’s Social Network

Journal of Labor Economics

This is an observational study of the social networks of 1.4 million US Facebook users who list an employer in their profile.

Moira Burke
December 1, 2015

Internet Use and Psychological Well-Being: Effects of Activity and Audience

Communications of the ACM

Two lines of research fifteen years apart demonstrate that talking with close friends online is associated with improvements in social support, depression, and other measures of well-being. Talking with strangers and reading about acquaintances are not.

Robert Kraut, Moira Burke
May 18, 2015

The Lifecycles of Apps in a Social Ecosystem

Proc. WWW'15

Apps are emerging as an important form of on-line content, and they combine aspects of Web usage in interesting ways — they exhibit a rich temporal structure of user adoption and long-term engagement, and they exist in a broader social ecosystem that helps drive these patterns of adoption and engagement. It has been difficult, however, to study apps in their natural setting since this requires a simultaneous analysis of a large set of popular apps and the underlying social network they inhabit.

Isabel Kloumann, Lada Adamic, Jon Kleinberg, Shaomei Wu
May 18, 2015

Design and Analysis of Benchmarking Experiments for Distributed Internet Services

Proc. WWW

We develop statistical models of distributed Internet service performance based on data from Perflab, a production system used at Facebook which vets thousands of changes to the company’s codebase each day.

Eytan Bakshy, Eitan Frachtenberg
May 9, 2015

Exposure to Ideologically Diverse Information on Facebook

Science.

How do these online networks influence exposure to perspectives that cut across ideological lines?

Eytan Bakshy, Solomon Messing, Lada Adamic
March 14, 2015

The Diffusion of Support in an Online Social Movement: Evidence from the Adoption of Equal-Sign Profile Pictures

Proc. CSCW'15

In March of 2013, 3 million Facebook users changed their profile picture to one of an equals sign to express support of same-sex marriage. We demonstrate that this action shows complex diffusion characteristics congruent with threshold models, with most users observing several of their friends changing their profile picture before taking the action themselves.

Bogdan State, Lada Adamic
December 19, 2014

Predicting the Quality of New Contributors to the Facebook Crowdsourcing System

Neural Information Processing Systems: Crowdsourcing and Machine Learning Workshop

We are interested in improving the quality and coverage of a knowledge graph through crowdsourcing features built into a social networking service. This work presents an approach to model user trust when prior history is lacking.

Julian Eisenschlos
August 24, 2014

Practical Lessons from Predicting Clicks on Ads at Facebook

International Workshop on Data Mining for Online Advertising (ADKDD)

Online advertising allows advertisers to only bid and pay for measurable user responses, such as clicks on ads. As a consequence, click prediction systems are central to most online advertising system…

He Xinran, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, Joaquin Quinonero Candela